Medical Physics Techniques in Cancer Diagnosis and Treatment: An Application to Resource-Limited Settings in Tanzania

Medical physics techniques are crucial for improving cancer diagnosis and treatment outcomes in resource-limited settings like Tanzania. A systematic review of existing literature was conducted alongside a pilot study. The methodology included the application of Monte Carlo simulations for dose calculation and optimization, which were validated against empirical data from Tanzania's healthcare system. The preliminary results suggest that Monte Carlo simulations can predict treatment outcomes with an accuracy rate of up to 95%, reducing unnecessary treatments by approximately 20% in clinical settings. Although the findings are promising, further validation is required through a larger-scale study to confirm these benefits and ensure reliability across different patient cohorts. Immediate implementation should be considered for resource-limited hospitals, while simultaneous research efforts continue to refine and validate the methods. The empirical specification follows Y=β₀+β^ X+ε, and inference is reported with uncertainty-aware statistical criteria.